2P1-N-058 Measurement of Human Motion Trajectory in an Elavator Using a Surveillance Camera(Intelligent Space 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

We perform many seemingly simple tasks in our daily lives, from manipulating everyday objects to processing many thoughts, often at the same time. These are things most of us are able to manage without any great difficulties. However, the development of such skills has actually been built on an enormous amount of knowledge that has been stored unconsciously throughout our lives. These skills become second nature to us, but when it comes to trying to replicate these in mechanical objects – robots – it becomes clear that the development of these abilities is not simple at all. Professor Kensuke Harada, from the Graduate School of Engineering Science, at Osaka University, is focused on looking at the issues of motion planning, gripper design, human motion and machine learning. His ultimate goal is to realise a robot that can manipulate an object just like a human can.

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2P1-N-056 Position tracking estimation of two or more persons by probabilistic approach(Intelligent Space 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ◽

10.1299/jsmermd.2005.190_1 ◽

2005 ◽

Vol 2005 (0) ◽

pp. 190

Author(s):

Akihiro Nishimura ◽

Yasushi Hada ◽

Kuniaki Kawabata ◽

Hajime Asama

Keyword(s):

Probabilistic Approach ◽

Position Tracking ◽

Daily Lives ◽

Intelligent Space

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Human Motion Trajectory Prediction in Human-Robot Collaborative Tasks

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/646/1/012067 ◽

2019 ◽

Vol 646 ◽

pp. 012067

Author(s):

Shiqi Li ◽

Haipeng Wang ◽

Shuai Zhang ◽

Shuze Wang ◽

Ke Han

Keyword(s):

Human Motion ◽

Motion Trajectory ◽

Trajectory Prediction

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Peringatan Otomatis Pada Internet of Things Sistem Deteksi Smart Motion

Generation Journal ◽

10.29407/gj.v5i1.15372 ◽

2021 ◽

Vol 5 (1) ◽

pp. 19-25

Author(s):

Nizirwan Anwar ◽

Budi Tjahjono ◽

Masmur Tarigan ◽

Dewanto Adhy Rosian ◽

Nur Widiyasono ◽

...

Keyword(s):

Internet Of Things ◽

Human Movement ◽

Human Motion ◽

Security System ◽

Raspberry Pi ◽

The Internet ◽

Daily Lives ◽

Human Presence ◽

Home Security ◽

Network Connection

The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.

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